Evidence map›Paper›PMID 32795250›Full record

ArticleBMC genomics2020

Genetic architecture and genomic selection of female reproduction traits in rainbow trout.

J D'Ambrosio, R Morvezen, S Brard-Fudulea, A Bestin, A Acin Perez, D Guéméné, C Poncet, P Haffray, M Dupont-Nivet, F Phocas

Abstract read
In one paragraph

Article in BMC genomics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

14 citing papers in PubMed.

  1. Genome-Wide Association Study SuggestsCurrent issues in molecular biology · 2026
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  13. Genomic Selection in Aquaculture Species.Methods in molecular biology (Clifton, N.J.) · 2022
    Article
  14. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

J D'AmbrosioUniversité Paris-Saclay, INRAE, AgroParisTech, GABI, 78350, Jouy-en-Josas, France.
R MorvezenSYSAAF, Station INRAE-LPGP, Campus de Beaulieu, 35042, Rennes cedex, France.
S Brard-FuduleaSYSAAF, Section Avicole, Centre INRAE Val de Loire, 37380, Nouzilly, France.
A BestinSYSAAF, Station INRAE-LPGP, Campus de Beaulieu, 35042, Rennes cedex, France.
A Acin PerezViviers de Sarrance, Pisciculture Labedan, 64490, Sarrance, France.
D GuéménéSYSAAF, Section Avicole, Centre INRAE Val de Loire, 37380, Nouzilly, France.
C PoncetUniversité Clermont-Auvergne, INRAE, GDEC, 63039, Clermont-Ferrand, France.
P HaffraySYSAAF, Station INRAE-LPGP, Campus de Beaulieu, 35042, Rennes cedex, France.
M Dupont-NivetUniversité Paris-Saclay, INRAE, AgroParisTech, GABI, 78350, Jouy-en-Josas, France.
F PhocasUniversité Paris-Saclay, INRAE, AgroParisTech, GABI, 78350, Jouy-en-Josas, France. florence.phocas@inrae.fr.ORCID http://orcid.org/0000-0003-1161-3665

Funding

ANRT N°2017/0239European Maritime and Fisheries Fund RFEA47 0016 FA 1000016FranceAgrimer 2017-0239
6 · The paper itself

Abstract

backgroundRainbow trout is a significant fish farming species under temperate climates. Female reproduction traits play an important role in the economy of breeding companies with the sale of fertilized eggs. The objectives of this study are threefold: to estimate the genetic parameters of female reproduction traits, to determine the genetic architecture of these traits by the identification of quantitative trait loci (QTL), and to assess the expected efficiency of a pedigree-based selection (BLUP) or genomic selection for these traits.

resultsA pedigreed population of 1343 trout were genotyped for 57,000 SNP markers and phenotyped for seven traits at 2 years of age: spawning date, female body weight before and after spawning, the spawn weight and the egg number of the spawn, the egg average weight and average diameter. Genetic parameters were estimated in multi-trait linear animal models. Heritability estimates were moderate, varying from 0.27 to 0.44. The female body weight was not genetically correlated to any of the reproduction traits. Spawn weight showed strong and favourable genetic correlation with the number of eggs in the spawn and individual egg size traits, but the egg number was uncorrelated to the egg size traits. The genome-wide association studies showed that all traits were very polygenic since less than 10% of the genetic variance was explained by the cumulative effects of the QTLs: for any trait, only 2 to 4 QTLs were detected that explained in-between 1 and 3% of the genetic variance. Genomic selection based on a reference population of only one thousand individuals related to candidates would improve the efficiency of BLUP selection from 16 to 37% depending on traits.

conclusionsOur genetic parameter estimates made unlikely the hypothesis that selection for growth could induce any indirect improvement for female reproduction traits. It is thus important to consider direct selection for spawn weight for improving egg production traits in rainbow trout breeding programs. Due to the low proportion of genetic variance explained by the few QTLs detected for each reproduction traits, marker assisted selection cannot be effective. However genomic selection would allow significant gains of accuracy compared to pedigree-based selection.

Indexed as

Oncorhynchus mykissAnimalsFemaleGenome-Wide Association StudyGenomicsPhenotypePolymorphism, Single NucleotideReproductionSelection, GeneticBody weightEgg sizeEgg weightFecundityFishGWASHeritabilityQTLSpawning dateSpawn weight

Identifiers

PMID32795250
PMCPMC7430828

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.